code: def __call__(self, shape):
      A, B, C, D = self._get_ABCD(shape)
  
      if self.apply_scale:
          sqrt_n = np.sqrt(shape[1])
      else:
          sqrt_n = 1
  
      F = self._F(A, B, C, D)
      E_D_F = self._expected_over_D_of_F(A, B, C)
      return (F - E_D_F * (1 - 1.0 / sqrt_n)) / sqrt_n
  
imports: import numpy
  import abc
  from scipy.stats import gennorm
  from scipy.special import gamma
  from scipy.stats import laplace
label_desc: Use image node_id 3 for calling the RceInitialiser obj's underlying member method code with example usage: obj.__call__(shape) and returns: unknown